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Statistical Inference for Financial Engineering

This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for;

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Statistics and Data Analysis for Financial Engineering

for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises;

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Modern Engineering Statistics

This concise introduction to engineering statistics emphasizes data analysis and model building, not mathematical statistics. Intended for;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Data Analysis and Applications 4

areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and;

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A Course on Statistics for Finance

This text presents statistical methods for financial investment analysis. Providing the connection between elementary statistics courses;

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Introduction To Analysis Of Financial Data With R

of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and;

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Introduction to Probability and Statistics for Science, Engineering, and Finance

of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns Cox-Ross-Rubinstein (CRR;

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Introduction to Probability and Statistics for Science, Engineering, and Finance

: Applications of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns Cox-Ross;

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Statistics for Engineering and the Sciences

continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real;

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Statistics in MATLAB

analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;

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Statistics in MATLAB

analysis Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;

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Statistics for Finance

mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to;

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Statistics for Finance

mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to;

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Applied Statistics for Engineers and Scientists

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;

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Studies in Theoretical and Applied Statistics

series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and;

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Applied Probabilistic Calculus for Financial Engineering

illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and;

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Statistics, Data Analysis And Decision Modeling

This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical;

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Financial Modelling in Commodity Markets

analysis of real data Written for scholars from a wide range of scientific fields, including economics and finance, mathematics, engineering and;

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Financial Modelling in Commodity Markets

models for the analysis of real data Written for scholars from a wide range of scientific fields, including economics and finance;

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Statistical Analysis of Financial Data in S-plus

component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and;

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Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental;

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Quick Start to Data Analysis with SAS

This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for;

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Basic Computational Techniques for Data Analysis

use in data analysis. Basic Computational Techniques for Data Analysis illustrates the concepts used in economic and financial;

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